SHIFT's eLearning Blog

Our blog provides the best practices, tips, and inspiration for corporate training, instructional design, eLearning and mLearning.

To visit the Spanish blog, click here
    All Posts

    Three reasons collaboration works for eLearning projects

    Collaboration is and will be a hot topic in business for a while.  In the eLearning industry, collaboration works when the act of collaboration simplifies the life of the stakeholders involved.

    Three reasons collaboration works for eLearning projects:collaboration

    • Knowledge mining:  especially for large organizations, geographically spread, getting most experts aligned on content is critical.  If localization to other languages is part of the scope, even more essential collaboration will be.  Another important element is that stakeholders feel involved in the process and are partially “owners” of the content so that they won’t “reject” it in the future.

    • Development:  Content on local hard drives and even sent by FTP are becoming less popular.  Collaboration that integrates media management in the cloud is becoming more and more popular because wait times and transfer times trend to zero.  A centralized, consistent repository is desirable.

    • Approval: Very hard not to have lots of stakeholders wanting to add or delete or improve content.  The key is to make these changes in real time.  Going from discussion to change to finished product in real time.  The discussion-edit-review process will likely loop a few times, so even more critical is to have the technology and methods to collaborate in real time to accomplish these loops as quickly as possible.

    describe the image

     

    Click me

    Karla Gutierrez
    Karla Gutierrez
    Karla is an Inbound Marketer @Aura Interactiva, the developers of SHIFT. ES:Karla is an Inbound Marketer @Aura Interactiva, the developers of SHIFT.

    Related Posts

    AI-Driven Learning in Daily Workflows

    In a workplace where the pace of change outstrips the capacity of traditional training, organizations face a growing challenge: How can they ensure their teams acquire and apply skills exactly when the business needs them? A new approach is emerging—one that is completely redefining corporate learning: AI-driven learning integrated directly into daily workflows. This model eliminates the long-standing gap between “learning” and “doing.” Training stops being an isolated event and becomes continuous support that accompanies people as they carry out their real tasks.

    AI-Powered Experiential Learning: The Real Shift Has Already Begun

    Throughout this month, we explored simulations, guided practice, mastery, scenarios, and new ways to assess performance. But behind all these elements lies a much deeper transformation: AI isn’t just improving training… it’s redefining the relationship between people and learning. It moves us beyond the old logic of content to be “consumed.” With AI, learning becomes a living experience, something to explore, practice, and revisit as many times as needed. That’s the real change. Below are the 5 most powerful insights from this series on AI-Powered Experiential Learning and why it’s setting a new before and after.

    Ultra-Short Tip: The Future of eLearning Is Experiential

    Corporate training is evolving, shifting toward preparing people to act with confidence in real situations. AI-powered Experiential Learning is redefining how organizations develop talent. Instead of simply presenting concepts, it allows employees to practice, make decisions, and experience consequences inside simulators that mirror their everyday challenges. The result: learning that feels alive, relevant, and immediately applicable. When practice happens before the “critical moment,” skills solidify faster and with greater confidence. Theory becomes judgment. Information becomes action. Learning becomes real mastery.